Title
Quality assessment of fractalized NPR textures: a perceptual objective metric
Abstract
Texture fractalization is used in many existing approaches to ensure the temporal coherence of a stylized animation. This paper presents the results of a psychological user-study evaluating the relative distortion induced by a fractalization process of typical medium textures. We perform a ranking experiment, assess the agreement among the participant and study the criteria they used. Finally we show that the average co-occurrence error is an efficient quality predictor in this context.
Year
DOI
Venue
2009
10.1145/1620993.1621016
APGV
Keywords
Field
DocType
ranking experiment,quality assessment,efficient quality predictor,fractalized npr texture,fractalization process,stylized animation,existing approach,average co-occurrence error,temporal coherence,psychological user-study,perceptual objective metric,relative distortion,texture fractalization,texture,computer vision,statistical analysis,non photorealistic rendering
Computer vision,Ranking,Computer science,Simulation,Stylized fact,Non-photorealistic rendering,Coherence (physics),Animation,Artificial intelligence,Distortion,Perception
Conference
Citations 
PageRank 
References 
4
0.45
10
Authors
3
Name
Order
Citations
PageRank
Pierre Bénard11227.20
Joëlle Thollot274537.34
François Sillion32128188.75